Developed from CTCE/Gebit and TBA; (https://doi.org/10.5281/zenodo.17049651) CTGV presents a proof of concept (PoC) of cognition through dynamic geometry: an alternative, auditable, and scalable approach to traditional artificial intelligence systems. Based on topological units (Gebits) of distinct formats—DECISION MAKER, RESONATOR, and INHIBITOR—they model complex relationships in a mesh of notification fields, structural interference, and traceable topological transmission. Its architecture...

Developed from CTCE/Gebit and TBA; (https://doi.org/10.5281/zenodo.17049651) CTGV presents a proof of concept (PoC) of cognition through dynamic geometry: an alternative, auditable, and scalable approach to traditional artificial intelligence systems. Based on topological units (Gebits) of distinct formats—DECISION MAKER, RESONATOR, and INHIBITOR—they model complex relationships in a mesh of notification fields, structural interference, and traceable topological transmission. Its architecture...